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Remote Ecological Modeling Jobs in California (NOW HIRING)

AI Biologist - Metagenomics

San Francisco, CA ยท On-site +1

$120K - $180K/yr

Ai Biologist - Metagenomics As molecular data generation and frontier model intelligence grows, new ... Master's or PhD in microbiology, microbial ecology, bioinformatics, biology, or related field * 3+ ...

Data Scientist

Santa Clara, CA ยท On-site +1

$130K - $150K/yr

Santa Clara, CA (preferred) or Remote - US-based Job Term: Full-Time The Opportunity Picarro ... Develop and implement models and algorithms for the detection, attribution, localization, and ...

Remote Compensation: $60.00-65.00/hourly* Dudek's journey began in 1980 with a vision to serve ... Bachelor's degree in fire science, forestry, natural resources, fire ecology, homeland security ...

Remote Compensation: $60.00-65.00/hourly* Dudek's journey began in 1980 with a vision to serve ... Bachelor's degree in fire science, forestry, natural resources, fire ecology, homeland security ...

Remote Ecological Modeling information

What is remote ecological modeling?

Remote ecological modeling is the use of computational and mathematical models to study and predict ecological processes and patterns, often using data collected remotely, such as from satellites or drones. Professionals in this field analyze spatial and temporal data to understand ecosystems, species distributions, and environmental changes. They work remotely, utilizing software and large datasets to inform conservation efforts, policy decisions, and scientific research. This role typically requires expertise in ecology, statistics, and computer science.

How does a remote ecological modeler typically collaborate with other scientists and stakeholders on projects?

Remote Ecological Modelers often work as part of interdisciplinary teams that may include ecologists, GIS specialists, data analysts, and policy makers. Collaboration is primarily conducted through virtual meetings, shared data platforms, and collaborative software tools. Modelers are responsible for translating scientific data into actionable models, sharing results, and integrating feedback from team members. Effective communication and documentation skills are essential, as their work directly informs conservation strategies and environmental decision-making.

What are the key skills and qualifications needed to thrive as a remote ecological modeler, and why are they important?

To thrive as a Remote Ecological Modeler, you need a strong background in ecology, mathematics, and statistics, typically with a degree in environmental science, ecology, or a related field. Expertise with modeling software (such as R, Python, or GIS platforms), remote sensing tools, and sometimes certifications in data analysis or GIS are commonly required. Analytical thinking, problem-solving, and effective communication skills are crucial for interpreting complex data and collaborating with diverse teams. These skills enable accurate ecological predictions, support informed decision-making, and drive effective conservation or resource management strategies.

What is the difference between Remote Ecological Modeling vs Remote Environmental Data Analyst?

AspectRemote Ecological ModelingRemote Environmental Data Analyst
Required CredentialsDegree in Ecology, Environmental Science, or related field; GIS and modeling certificationsDegree in Environmental Science, Data Analysis, or related; statistical and GIS skills
Work EnvironmentResearch-focused, often involving ecological data and modeling softwareData-driven, analyzing environmental datasets for insights and reporting
Employer & Industry UsageResearch institutions, environmental consultancies, government agenciesEnvironmental firms, NGOs, government agencies, consulting companies
Common Search & Comparison IntentUnderstanding roles involving ecological data modelingComparing data analysis roles in environmental sectors

Remote Ecological Modeling focuses on creating models to predict ecological patterns using specialized software, while Remote Environmental Data Analysts interpret environmental data to inform decisions. Both roles require environmental or data analysis credentials but differ in their core tasks and focus areas.

What are popular job titles related to Remote Ecological Modeling jobs in California?

For Remote Ecological Modeling jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Remote Ecological Modeling jobs?

Cities in California with the most Remote Ecological Modeling job openings:

Infographic showing various Remote Ecological Modeling job openings in California as of September 2026, with employment types broken down into 2% As Needed, 85% Full Time, 6% Part Time, 5% Temporary, and 2% Contract. Highlights an 100% Remote job distribution.

GHG Quantification and Mangrove Specialist, Nature-based Solutions (NbS)

Oakland, CA โ€ข On-site, Remote

Terra Global
Investment Clubs and Venture Capital Companiesย โ€ขย 1 - 10 employees

Full-time

Re-posted 10 days ago


Job description

Position: GHG Quantification and Mangrove Specialist, Nature-based Solutions (NbS)
Term: Full-time - Employee or Consultant (depending on location)
Location: Remote (working at least 4 hours in North America Pacific time zone)Company Summary
Founded in 2006, Terra Global is a mission driven company delivering 20 years of passion and persistence for people and the planet. Terra Global's mission is to provide technical expertise and climate-related private sector finance to empower communities, governments, and local partners to build financially, socially, and environmentally sustainable landscapes. Terra Global is a global leader in sustainable forest and agriculture program development, land-use greenhouse gas quantification and finance, and providing technical expertise and investment capital to their global client base in a collaborative and innovative manner. Having worked in 30+ countries, Terra Global has designed and supported the implementation of REDD+ and other sustainable landscape programs from the project to national scale.Position Responsibilities
This position for GHG quantification provides full-time technical support for carbon accounting and calculations, both at project and program scales, as well as contributing to business development. Candidate should bring expertise in Nature-based Solutions (NbS) sector and specialize in mangrove and/or wetland ecosystems. The ideal candidate should possess a minimum of 5 years of experience in data collection, analysis, and interpretation related to natural ecosystems, with a significant emphasis on mangrove ecosystems. In this role, you will utilize statistical modeling to create predictive models and develop statistical tools aimed at improving and evaluating our carbon accounting models. The candidate will:
  • Lead technical design and review of blue carbon projects focused on mangroves and other tidal wetlands, including both restoration and conservation activities.
  • Utilize advanced biostatistical techniques to analyze and interpret carbon emissions data, with a specific focus on biological and ecological aspects. Identify key trends and patterns to inform decision-making. This position for GHG quantification specifically supports technical aspects of methodology development, carbon accounting and calculations (at project and program scales), and business development. The preferred candidate has a minimum of 5 years' experience in carbon modeling and statistics and is a self-starter who shows team leadership qualities with proven ability to work on a tight deliverable schedule.
  • Evaluate and collaborate on the development of predictive models and statistical tools to forecast future carbon emissions and/or growth, considering biological and ecological factors.
  • Assess and model sea-level rise, sediment accretion, submergence, erosion, salinity, wetland migration, and related non-permanence risks affecting project performance and carbon stocks.
  • Develop and review technical aspects of AFOLU carbon projects and programs and provide guidance regarding project typology, eligible methodologies and mechanics of carbon monitoring, reporting and verification
  • Compile data from literature and field-data, including forest inventory for GHG accounting procedures for any AFOLU project types
  • Develop models in excel and python for baseline, ex-ante carbon calculations, and ex-post emission reductions/removals of AFOLU carbon projects and programs
  • Visit remote project sites primarily in developing countries and verify fieldwork to support forest based carbon projects (e.g., overseeing and reviewing biomass inventories)
  • Manage the collection of in-situ land use and land cover data and assess the biophysical, and socio-economic feasibility of NBS/AFOLU carbon projects
  • Support Project Managers for multiple international projects, including ensuring tasks remain under budget and on schedule.
Essential Skills and Qualifications
  • Background quantifying GHG emissions in successful carbon projects following market standards
  • Applied understanding of wetland hydrology, sediment accretion and erosion, water table dynamics, salinity, organic vs. mineral soils, and soil organic carbon accounting
  • Proficiency in statistical software and data analysis tools, such as Python, or others
  • Coursework in biometrics, biostatistics, modeling, programming, GIS analysis, soil science, and forest systems
  • A bachelor's degree in applied natural sciences such as forestry, ecology, natural resources, or biogeochemistry strongly suggested
  • Preferred master's in biostatistics, statistics, or a related field
  • Practical and applied understanding of mathematical and statistical principles related to forest growth, yields and harvests
  • Strong understanding of mangrove ecosystems and their unique biogeochemical modeling, as well as the use of Verra's Methodologies VM0033, VMD0050, VMD0051, and VMD0052
  • Strong analytical and problem-solving skills, with a proven ability to work with complex and extensive data sets
  • Meticulous attention to detail and organizational skills
  • Experience in forest monitoring, REDD+ carbon accounting, and MRV, including familiarity with accreditation programs and standards like the ACR, CDM, VCS, FCPF and CAR
  • Excellent skills in MS Office suite, including advanced Excel skills of modeling, computer-literate with the ability to absorb new tools quickly
  • Logical and structured thinker with understanding of spatial software
  • Excellent written skills in English, and able to communicate fluently in English
  • Organized, market-focused and results-oriented
  • Understanding of cultural sensitivities associated with working in international settings
  • Able to work collaboratively in a team environment while self-managing deliverables
  • Passionate about working in the development and environmental sector
  • Preferred knowledge of at least one foreign language, preferably French, Spanish, or Portuguese.
Other Skills
  • Passion/persistence to work as a team-player and contribute to a company dedicated to Nature-based Solutions (NbS) program approaches
  • Excellent communication and organizational skills: Verbal, written, and presentational
  • High-level attention to detail
  • Proactive and positive attitude; strong willingness to contribute effectively and positively to a multidisciplinary, global private company
  • Highly motivated to meet corporate and personal/professional Key Performance Indicators (KPIs), as assigned annually
  • Experience with GHG market standards, guidelines and protocols
  • Actively working to learn new skills in order to stay ahead of with changing technologies and industry trends and shares knowledge proactively with others
  • Able to apply business knowledge to develop and deliver innovative, beneficial improvements.
  • Excellent collaboration skills required both in-person and fully remote
  • Demonstrable ability to operate and effectively communicate while under pressure, as well as the ability to lead a diverse workload and work under time constraints
  • Skilled in communicating technical topics to non-technical audiences
  • Experience working in an international environment, specifically in developing countries.
What We Offer
  • "20 Years of Passion and Persistence for People and the Planet": work for a successful, mission driven social enterprise that is an industry leader in facilitating financially, socially, and environmentally sustainable landscapes in developing and emerging economies
  • Professional Growth: thrive on the opportunity to learn through training and development with dedicated professionals working from different countries around the world
  • Collaboration: join a great team atmosphere and a corporate culture based on mutual respect, partnerships, flat reporting structures and the opportunity to work from home
  • Salary compensation: $68-100k base per year for US based staff, commensurate with qualifications and home working location.